Research On Energy-saving Speed Regulation Technology Of Belt Conveyor

Because the belt conveyor has the advantages of good economy and strong adaptability,it has gradually developed into an extremely important continuous conveying equipment in the field of bulk material conveying.Nowadays,Ministry of Industry and Information Technology increasingly focus on energy conservation as well as consumption reduction,the scholars researched a lot on technology of belt conveyors in order to save energy.The traditional belt conveyor usually runs continuously at the maximum speed proposed in the design,but due to some objective factors in the actual operation process,such as the unevenness of the coal seam in coal mining,it is impossible to maintain the stability of the material flow.Make the belt conveyor appear "light load" or "no load" phenomenon.In addition,traditional belt conveyors cannot automatically adjust the speed of the motor according to the load due to the use of open-loop control,resulting in wasted energy.At the same time,the belt conveyor needs to transition from the running-in period to the stable operation phase and finally to the wear period,and the optimal belt speed matched with the same carrying capacity in different operation phases is also different.Based on the above problems,this study proposes a self-learning energy-saving speed regulation control strategy for belt conveyors.The research content mainly includes the following points.First,this paper analyzes the factors affecting energy consumption of belt conveyors and finds that the material cross-sectional area is the most important factor.In this paper,the optimal material cross-sectional area suitable for a conveyor instance is obtained by solving the multiobjective optimization mathematical model.Based on the optimal material cross-sectional area,an energy consumption model of belt conveyor capacity-belt speed is established to provide an energy consumption model for subsequent control strategies.Second,this paper designs a strategy that satisfies the speed control of the belt conveyor—the segmented fuzzy PID speed control method.Because the belt conveyor has some typical features,such as: non-linearity,large delay and large lag.Thus,the speed control is required to be responsive,overshooted and with a high level of accuracy.By comparing the advantages and disadvantages of fuzzy control and PID control,a segmented fuzzy PID control method suitable for belt conveyor speed control is proposed.The belt conveyor model was established by the Simulink toolbox,and it was verified that the speed regulation control method could effectively and accurately regulate the speed of the belt conveyor at different operating speeds.Third,this paper designs a strategy that satisfies the self-learning function—the selflearning optimization method.The method completes the self-learning function of the energy consumption model of the belt conveyor by collecting the operation data in the stable operation stage after the speed regulation of the belt conveyor is completed,and combining the experience of the expert system.Through the organic combination of the segmented fuzzy PID control method and the self-learning optimization method,the energy-saving speed regulation control strategy of the belt conveyor is finally realized.Finally,under the guidance of The simulink toolbox,the simulation model is established to follow and prove the self-learning energy-saving speed regulation control strategy,It is also found that with the increase of the operating time of the belt conveyor and the accumulation of the number of self-learning,the strategy can complete the improvement of the energy consumption model according to the working conditions of the belt conveyor,so as to achieve the goal of energy-saved in the whole life cycle of the belt conveyor.